Triple
T2050911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RFC 783 |
E45563
|
entity |
| Predicate | definesErrorHandling |
P25610
|
FINISHED |
| Object | ERROR packet with error code and message |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: ERROR packet with error code and message | Statement: [RFC 783, definesErrorHandling, ERROR packet with error code and message]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesErrorHandling Context triple: [RFC 783, definesErrorHandling, ERROR packet with error code and message]
-
A.
errorHandlingModel
chosen
Indicates how a system or component manages, responds to, and recovers from errors or exceptional conditions during operation.
-
B.
defaultStandardError
Indicates that a default or typical value is used as the standard error associated with a measurement, estimate, or prediction.
-
C.
errorRecovery
Indicates that an entity detects a failure or error condition and initiates actions to restore normal or acceptable operation.
-
D.
exception
Indicates that a particular case does not follow the usual rule, pattern, or condition that applies to others.
-
E.
doesNotProvideExceptionFor
Indicates that one party or rule fails to grant an exemption, special case, or exclusion to another party or situation.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb98f5f4881908d9aa0f10be44041 |
completed | March 7, 2026, 5:37 a.m. |
| PD | Predicate disambiguation | batch_69abb7abba508190b872f345d3ba51bb |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:39 p.m.